"A server for reading documents" matching MCP servers:

MCP server for sealing, verifying, and reading KNOBE Protocol v1 documents with human-confirmed authorship, ensuring document provenance and integrity.

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

Enables MCP clients to interact with a Mudbase project by listing and querying collections, reading and writing documents, searching across the project, and managing files in storage.

A local MCP server for reading and editing Word (.docx) documents with 33 tools for content, formatting, comments, page layout, and track changes, running locally via stdio.

An MCP server that allows Claude AI to perform filesystem operations including reading, writing, listing, moving files, and searching directories within specified allowed paths.

Provides MCP tools for working with Microsoft Word documents, enabling reading, editing with tracked changes, formatting, table manipulation, comments, and PDF conversion via direct OOXML manipulation.

A Model Context Protocol server that provides seamless access to multiple storage services including S3, Azure Blob Storage, and Google Cloud Storage through Apache OpenDAL™.

Provides tools to extract, convert, and generate Microsoft Office documents (Word, Excel, PowerPoint) via the Model Context Protocol, with support for reading, editing, and auditing document content.

A local MCP server that gives Claude a durable reading room for EPUB and plain text books, enabling chunk-by-chunk navigation, annotations, progress tracking, and shared margin cards.

Enables reading and analyzing Word documents with advanced features including table extraction, OCR image analysis, full-text search, and intelligent caching for optimized performance on large documents.

A local development server that provides an interface for managing and accessing markdown documents using the Model Context Protocol (MCP).

Exposes GroupDocs.Metadata as AI-callable tools for reading, searching, writing, and removing metadata in documents.

A Model Context Protocol server that enables enhanced file system operations including reading, writing, copying, moving files with streaming capabilities, directory management, file watching, and change tracking.

Integrates with Google Drive to enable listing, reading, and searching over files, with automatic export of Google Workspace documents to appropriate formats.

A production-ready Model Context Protocol server that bridges local document management with cloud synchronization (Notion) for AI agent integration, enabling seamless access and sync of local and cloud documents.

Enables reading and processing various document formats including Word, PDF, RTF, and text files. Supports extracting media elements like images and links, with features for PDF page range selection and automatic text encoding detection.

A Model Context Protocol server for reading, editing, and reproducing the layout of HWPX documents (Korean word processor format) using AI, with 146 tools and lossless CST architecture.

A portfolio MCP server demonstrating four tools (web search, database query, file reading, directory listing) with read-only SQL, filesystem sandbox, and both stdio and HTTP transports.

A consolidated MCP server for creating, reading, and manipulating Microsoft Word documents with 25 tools including search/replace, track changes, and document protection.

A Model Context Protocol server for creating, reading, and manipulating Microsoft Word documents, enabling AI assistants to work with Word files through document editing, formatting, and conversion capabilities.